Before
~1 week
- 4–5 people
- 160–200 hours of work
- Every week and every month
Filip Olender
A dozen reports. One source of truth. One hour.
C-level reporting for a client: data from more than a dozen people and four kinds of sources, unified by AI, validated, visualised and published online.
After
~1 hour
- Automated in n8n
- Metrics and charts built automatically
- Published to the live report
The hard part wasn’t the math.
It was more than a dozen people, each sending numbers in their own format, from four kinds of sources.
- Data warehouse
- SQL queries
- Google Sheets and Excel
- Files kept by individual teams
- BI exports
- Dashboards and saved reports
- Tool APIs
- Analytics and business tools
How it works.
- AI (LLM)
- Deterministic automation
- Collect (Automation)n8n pulls data from every source.
- Unify (AI agent)An LLM maps each contributor’s formats and names to one schema.
- Validate (Automation)Four checks run on every report; a failed check sends an alert.
- Visualize (Automation)Key metrics and charts are built from the validated data.
- Publish (Automation)The report goes live on a website leadership opens online.
Nothing reaches leadership unchecked.
Completeness
Every person and source delivered data for the period.
Consistency
The same metric agrees across sources.
Anomalies
Sudden jumps or drops against previous periods are flagged.
Format and schema
Columns, types, units and dates are correct.
Why AI does only one job here.
Formats from a dozen people never match: different column names, units and layouts. That is where rules break and a language model does well, so the LLM unifies the data. Everything after it, validation, charts and publishing, is deterministic, so every number in the report can be traced and audited.
What leadership sees.
The live report opens in a browser. Same structure as the real one, with demo numbers.
Leadership report · Week 41
All checks passed · Published 07:02
- Revenue
- €1.42M
- +4.1% vs last week
- Active customers
- 18,240
- +2.3% vs last week
- Conversion
- 3.8%
- +0.2 pp vs last week
- Churn
- 1.9%
- −0.1 pp vs last week
Weekly revenue, last 12 weeks (€k)
What I’d do in your first 90 days.
Days 1–30
Map your recurring reports, their sources and who builds them. Pick the one that costs the most time.
Days 31–60
Automate that report end to end, with validation checks your team agrees on.
Days 61–90
Publish it, hand it over with documentation and measure the time it saves. Then pick the next one.